VLDB 2026 Research / reviewers in the wild / expert
Shunfeng Zheng
dblp:366/0820
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Trustworthy machine learning · 46% Efficient and distributed learning · 46% Language models and text generation · 7% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning
fairness |
1.0 | 1 | 2026 | Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models · AAAI 2026 |
Machine learning › Efficient and distributed learning › federated learning
federated fine-tuning |
1.0 | 1 | 2026 | Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models · AAAI 2026 |
Machine learning › Efficient and distributed learning
federated learning |
1.0 | 1 | 2026 | Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models · AAAI 2026 |
Machine learning › Trustworthy machine learning › fairness
social bias |
1.0 | 1 | 2026 | Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models · AAAI 2026 |
Natural language and speech › Language models and text generation
large language model fine-tuning |
0.3 | 1 | 2026 | Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models · AAAI 2026 |
Methods — techniques the papers use, named apart from their topics
federated learning · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models
Jiaxu Zhao 0002, Mingze Zhong, Shunfeng Zheng, Ling Chen 0006, Mykola Pechenizkiy |
AAAI | 4 |